Lowest PPP GDP per Capita Economies: Fragility, Conflict and Data Gaps in the 2025 Snapshot
Global incomes · GDP per capita PPP · 2025 snapshot
Lowest GDP per Capita PPP Economies in the 2025 Snapshot
GDP per capita adjusted for purchasing power parity compares average economic output per person after correcting for national price levels. The displayed ranking uses the IMF World Economic Outlook 2025 PPP GDP per capita series. The World Bank WDI indicators NY.GDP.PCAP.PP.CD and NY.GDP.PCAP.PP.KD are used as reference series for the indicator definition, metadata, and longer-term comparability.
The countries below sit at the bottom of this GDP per capita PPP snapshot. The wording is intentionally narrow: this is an income-output ranking, not a multidimensional poverty ranking. A low value usually signals severe economic constraint, but it does not directly measure nutrition, school access, health outcomes, household assets, personal safety, or inequality inside the country.
Lowest value in the snapshot
South Sudan has the lowest value in this displayed set. Its position reflects conflict damage, disrupted oil output, inflation pressure, weak public finances, and limited statistical visibility.
Bottom-10 range
The ten values sit in a narrow low-income band, but the causes are not identical: conflict collapse, landlocked geography, climate exposure, infrastructure gaps, and weak statistical systems all appear in different combinations.
Main regional pattern
Most entries are in Sub-Saharan Africa, with Yemen as a conflict-driven MENA outlier. The pattern reflects state fragility, low capital intensity, small formal sectors, and limited industrial diversification.
Key limitation
GDP per capita PPP should be paired with poverty headcount, inequality, child health, school completion, food security, displacement, and conflict indicators before drawing conclusions about lived deprivation.
What the bottom tail shows
The bottom ten by GDP per capita PPP are not simply lower-income versions of middle-income economies. Their positions usually reflect low productivity, weak state capacity, fragile public finances, exposure to violence or climate shocks, and limited infrastructure. South Sudan and Yemen show how conflict can compress measured output quickly. Burundi, Malawi, and Madagascar show a slower pattern: agriculture-heavy economies can remain near the bottom when population growth, weak infrastructure, and low formal-sector productivity outpace gains in output.
This page covers the bottom tail; the full income ranking is handled separately. The full Top 100 GDP PPP page is the better place to compare the broad ladder from high-income economies to upper-middle-income and emerging markets. This shorter page explains why the lowest GDP per capita PPP values are harder to compare and why they should not be read as a complete poverty ranking.
Ranking table: lowest 10 by GDP per capita PPP
The table is limited to ten countries because the editorial focus is the bottom of the distribution. It does not replace the full GDP per capita PPP ranking.
| Rank | Country | GDP per capita PPP |
|---|---|---|
| 1 | South Sudan | $716 |
| 2 | Burundi | $1,015 |
| 3 | Central African Republic | $1,330 |
| 4 | Yemen | $1,675 |
| 5 | Mozambique | $1,729 |
| 6 | Malawi | $1,778 |
| 7 | Democratic Republic of the Congo | $1,884 |
| 8 | Somalia | $1,916 |
| 9 | Liberia | $2,006 |
| 10 | Madagascar | $2,043 |
Values are current international dollars per person and rounded to the nearest dollar. Displayed values follow the IMF WEO 2025 PPP GDP per capita series; World Bank WDI PPP series provide the reference framework for definitions, metadata, and comparability checks.
Chart: bottom-tail GDP per capita PPP values
The chart compares average GDP per person after PPP adjustment. It does not show poverty headcount, inequality, or multidimensional deprivation.
Why low-income country data are less certain
GDP per capita PPP estimates are less certain in fragile and very low-income economies because the underlying statistical systems often have fewer household and business surveys, weaker price collection, incomplete business registers, large informal sectors, and interrupted national accounts. Conflict can also make parts of the economy physically inaccessible to enumerators and statistical agencies.
PPP conversion adds another layer of uncertainty. International comparisons depend on price baskets and benchmark rounds from the International Comparison Program, with extrapolations between benchmark years. When domestic prices move rapidly, exchange markets are distorted, or household consumption is poorly measured, the published GDP per capita PPP value should be read as a best available estimate, not a precise measurement of living standards.
Methodology and interpretation limits
Indicator
GDP per capita PPP is GDP divided by population and converted into international dollars using purchasing power parity conversion factors. It is an average output measure, not a household-income survey.
Source handling
The displayed 2025 values follow the IMF WEO PPP GDP per capita series. World Bank WDI indicators NY.GDP.PCAP.PP.CD and NY.GDP.PCAP.PP.KD are used as reference series for definitions, metadata, and historical context.
Rounding and coverage
Values are rounded to the nearest dollar. Countries are included where comparable GDP, population, and PPP estimates are available. Missing economies may reflect unavailable, outdated, or non-comparable data rather than higher income.
What this is not
This is not a multidimensional poverty ranking, not a household wealth ranking, and not a claim that all people in a low-ranked economy experience the same living conditions.
Insights for readers
The bottom group is dominated by fragile or structurally constrained economies, but the mechanisms differ. Conflict-driven collapses reduce output abruptly; agriculture-heavy economies may improve slowly without moving far in the ranking; resource-rich but weakly governed economies can show low per-person outcomes despite mineral or oil potential.
The useful reading is diagnostic rather than absolute. The table identifies where average purchasing power is extremely low, but it cannot explain distribution inside each country. A serious assessment should compare these values with poverty headcount ratios, child mortality, food insecurity, school completion, electricity access, displacement, and conflict or governance indicators.
FAQ
Why are fragile states difficult to rank?
Fragile states often have incomplete national accounts, limited survey coverage, large informal activity, disrupted price collection, and conflict zones that are hard to measure. Their GDP per capita PPP values are useful for broad comparison, but small differences between countries should not be treated as exact rank gaps.
Why can GDP per capita differ from poverty?
GDP per capita PPP is an average output measure. Poverty depends on income distribution, household consumption, access to services, prices faced by poor households, health, education, safety, and housing. A low GDP per capita PPP value often correlates with widespread deprivation, but it is not the same metric as poverty.
Why are some very poor economies missing?
Some economies lack comparable GDP, population, or PPP price data for the relevant year. International datasets may omit countries or territories when national accounts are unavailable, too uncertain, or not comparable. Missing economies should not be assumed to be richer; they may simply lack a usable published estimate for the relevant series.
Does bottom 10 by GDP per capita PPP mean “poorest countries”?
Only in a narrow income-output sense. The table ranks economies by average GDP per person after PPP adjustment. It does not rank multidimensional poverty, hunger, child mortality, education access, conflict exposure, or household wealth.
Why do PPP estimates get revised?
PPP estimates depend on international price comparisons. When new benchmark rounds, updated national accounts, or revised price data become available, international-dollar values can shift. Revisions are especially visible where statistical capacity is limited or prices move quickly.
What should be compared with this table?
Use poverty headcount ratios, inequality measures, child mortality, education attainment, access to electricity, food security, conflict indicators, and governance metrics. Together they explain living conditions better than GDP per capita PPP alone.
Sources
Displayed 2025 value series for GDP per capita based on purchasing power parity, current international dollars.
https://www.imf.org/external/datamapper/PPPPC@WEOReference series for GDP per capita, PPP, current international dollars.
https://data.worldbank.org/indicator/NY.GDP.PCAP.PP.CDReference series for GDP per capita, PPP, constant international dollars, useful for historical context.
https://data.worldbank.org/indicator/NY.GDP.PCAP.PP.KDMethodological background for PPP benchmark comparisons and international-dollar conversion.
https://www.worldbank.org/en/programs/icpCross-check for the displayed 2025 bottom-tail order and values; not used as the primary methodology source.
https://gfmag.com/data/economic-data/poorest-country-in-the-world/
